/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.dolphinscheduler.plugin.task.mlflow;

import lombok.Data;

import org.apache.dolphinscheduler.plugin.task.api.parameters.AbstractParameters;

import org.apache.commons.lang3.StringUtils;

import java.util.HashMap;

@Data
public class MlflowParameters extends AbstractParameters {

  /**
   * common parameters
   */

  private String params = "";

  private String mlflowJobType = "";

  /**
   * CustomProject parameters
   */
  private String mlflowProjectRepository;

  private String mlflowProjectVersion = "";

  /**
   * AutoML parameters
   */
  private String automlTool = "FLAML";


  /**
   * basic algorithm parameters
   */

  private String algorithm = "lightgbm";

  private String searchParams = "";

  private String dataPath;

  /**
   * mlflow parameters
   */

  private String mlflowTaskType = "";

  private String experimentName = "Default";

  private String modelName = "";

  private String mlflowTrackingUri = "http://127.0.0.1:5000";

  /**
   * mlflow models deploy parameters
   */

  private String deployType;

  private String deployModelKey;

  private String deployPort;

  @Override
  public boolean checkParameters() {
    return StringUtils.isNotEmpty(mlflowTrackingUri);
  }

  public HashMap<String, String> getParamsMap() {

    HashMap<String, String> paramsMap = new HashMap<String, String>();
    paramsMap.put("params", params);
    paramsMap.put("data_path", dataPath);
    paramsMap.put("experiment_name", experimentName);
    paramsMap.put("model_name", modelName);
    paramsMap.put("MLFLOW_TRACKING_URI", mlflowTrackingUri);
    switch (mlflowJobType) {
      case MlflowConstants.JOB_TYPE_BASIC_ALGORITHM:
        addParamsMapForBasicAlgorithm(paramsMap);
        break;
      case MlflowConstants.JOB_TYPE_AUTOML:
        getParamsMapForAutoML(paramsMap);
        break;
    }
    return paramsMap;
  }

  private void addParamsMapForBasicAlgorithm(HashMap<String, String> paramsMap) {
    paramsMap.put("algorithm", algorithm);
    paramsMap.put("search_params", searchParams);
    paramsMap.put("repo", MlflowConstants.PRESET_BASIC_ALGORITHM_PROJECT);
    paramsMap.put("repo_version", MlflowConstants.PRESET_REPOSITORY_VERSION);
  }

  private void getParamsMapForAutoML(HashMap<String, String> paramsMap) {
    paramsMap.put("automl_tool", automlTool);
    paramsMap.put("repo", MlflowConstants.PRESET_AUTOML_PROJECT);
    paramsMap.put("repo_version", MlflowConstants.PRESET_REPOSITORY_VERSION);
  }

  public Boolean isCustomProject() {
    return mlflowJobType.equals(MlflowConstants.JOB_TYPE_CUSTOM_PROJECT);
  }

  public String getModelKeyName(String tag) throws IllegalArgumentException {
    String imageName;
    if (deployModelKey.startsWith("runs:")) {
      imageName = deployModelKey.replace("runs:/", "");
    } else if (deployModelKey.startsWith("models:")) {
      imageName = deployModelKey.replace("models:/", "");
    } else {
      throw new IllegalArgumentException("model key must start with runs:/ or models:/ ");
    }
    imageName = imageName.replace("/", tag).toLowerCase();
    return imageName;
  }

  public String getContainerName() {
    return "ds-mlflow-" + getModelKeyName("-");
  }

  public boolean getIsDeployDocker() {
    if (StringUtils.isEmpty(deployType)) {
      return false;
    }
    return deployType.equals(MlflowConstants.MLFLOW_MODELS_DEPLOY_TYPE_DOCKER);
  }
}
